{"id":"W4415389454","doi":"10.4043/36059-ms","title":"Lessons From North America: Advancing Methane Detection and Management in South America with Airborne Technology","year":2025,"lang":"","type":"article","venue":"OTC Brasil","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Methane; Hyperspectral imaging; Methane emissions; Global warming","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410707,0.0007037511,0.0002663402,0.0005680031,0.00157982,0.003204606,0.00130527,0.002322041,0.004671794],"category_scores_gemma":[0.00247852,0.0001978911,0.000380028,0.0007699722,0.002407925,0.004061734,0.003165081,0.004042618,0.0008436498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004557507,"about_ca_system_score_gemma":0.0159892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1302378,"about_ca_topic_score_gemma":0.262347,"domain_scores_codex":[0.9991814,0.0002766642,0.00003348121,0.0001141181,0.0002123712,0.000181914],"domain_scores_gemma":[0.9968802,0.0009670513,0.0001293345,0.0001569869,0.001198144,0.0006683589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002220754,0.0005990566,0.03612402,0.001649588,0.00008754155,0.001149457,0.008701053,0.004235119,0.0198904,0.05333423,0.1808458,0.6931617],"study_design_scores_gemma":[0.00007665945,0.0005107068,0.03395971,0.002829381,0.0001067722,0.000649486,0.05209322,0.004274469,0.01246714,0.07119258,0.8216951,0.0001446792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0935249,0.0534841,0.02069117,0.7532188,0.002257543,0.0001852235,0.0006511689,0.0004591726,0.07552797],"genre_scores_gemma":[0.713485,0.09233954,0.09225077,0.07639194,0.001477606,0.0002392047,0.0006374301,0.0002830455,0.02289541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1302378,"threshold_uncertainty_score":0.2589594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004058721014595665,"score_gpt":0.2062637500702856,"score_spread":0.2022050290556899,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}